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to sustainability, and (v) energy efficiency in computing systems. Field of subject for the position: Computer Science with specialization in Machine Learning Placement: Department of Computer Science and Media
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learning. The employment is full-time for two years starting from August 1st 2025 or by agreement. Apply latest April 7th 2025. Project description Geometric deep learning refers to the study of machine
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Lund University announces a two-year fulltime postdoc position in second language acquisition with a focus on different aspects of the psychology of language learning. The position is connected
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. The group studies the behavioral, neural, and computational principles behind human learning and decision-making in social environments. Our interdisciplinary approach combines behavioral experiments
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of Machine Learning and Computational Chemistry. This recruitment is linked to the Wallenberg AI, Autonomous Systems and Software Program (WASP) and Wallenberg Initiative Materials Science for Sustainability
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to join our team. With Björn Lindström as teamleader and funded by the Swedish Research Council, we are developing a new framework for understanding social learning, social transmission and cultural
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and working tasks The connection between optimization and machine learning is at the heart of many recent breakthroughs in artificial intelligence and autonomous systems. Many machine learning
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Do you want to contribute to top quality medical research? In our research group, you will find a unique opportunity to work closely with leading experts at the crossroads of neuroimaging and neurosciences. We combine advanced neuroimaging methods (e.g., MRI, fMRI, diffusion imaging, PET) with...
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the opportunity to develop your own research ideas within the lab’s focus areas Build and refine computational models of human innovation and learning processes Design and test AI algorithms
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The postdoc fellow will conduct research in the intersection of AI/Machine Learning and Software Technology. The advertised position will be placed in the DISTA research group (https://lnu.se/en/dista